Impact of comparison group on cohort dose response regression: an example using risk estimation in atomic-bomb survivors

Health Physics
J B Cologne, D L Preston

Abstract

Cohort-based dose-response analyses can be biased if based on a comparison group that is not comparable to the exposed persons with respect to uncontrolled factors related to disease incidence or mortality. When data exist over a range of doses including the very low dose region, internal regression standardized analyses based on the regression intercept derived from the exposed subcohort alone can provide risk estimates that are not subject to such comparison-group bias. In the Life Span Study cohort of atomic-bomb survivors, persons with dose estimates of zero comprise a broader geographic distribution than that of persons with non-zero dose estimates. Because there is geographic variation in mortality rates, the zero-dose persons might bias background rate estimates thereby affecting inference about radiation risk. This is illustrated using mortality due to all causes. Restricting the comparison group to certain geographically defined subcohorts resulted in as much as a 6% increase or 8% decrease in the risk estimate. This bias can be corrected using an SMR-type estimate in the regression model, allowing retention of the comparison group in the analysis if it is needed for stability or precision in estimating age, time, and ...Continue Reading

Citations

Oct 13, 2010·Health Physics·John ColognePhillip Ross
Dec 6, 2017·European Journal of Epidemiology·Benjamin FrenchDale L Preston
Jan 15, 2002·Journal of Radiological Protection : Official Journal of the Society for Radiological Protection·D Preston
Nov 13, 2009·Radiation and Environmental Biophysics·Wolfgang F Heidenreich, H M Cullings
Jul 2, 2009·Environmental Health and Preventive Medicine·Eric J GrantRoy E Shore
Nov 23, 2017·Radiation and Environmental Biophysics·John CologneKotaro Ozasa
Sep 2, 2003·International Journal of Cancer. Journal International Du Cancer·Shizue IzumiKojiro Koyama
Dec 13, 2006·Journal of Occupational and Environmental Medicine·Peter MorfeldUNKNOWN International Carbon Black Association
Jan 27, 2020·European Journal of Epidemiology·Alina V BrennerKotaro Ozasa
Sep 8, 2015·Radiation and Environmental Biophysics·Werner RühmNobuyuki Hamada
Jun 5, 2021·Epidemiology and Psychiatric Sciences·M A AmanoA V Brenner

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